Accident data and records
(2025) p.5-28- Abstract
Accident data analysis is the common basis for any decision-making process on traffic safety strategies and management. The quality of the data, in terms of completeness (accuracy and precision of information about accidents) and coverage (severity of accidents recorded, but also the level of accident reporting or underreporting), is always a concern because it can lead to wrong decisions. An accident is defined as a set of events that result in injury or fatality due to the collision involving one motorized vehicle or a motor vehicle and another motorized vehicle, a cyclist, a pedestrian or an object. The terms 'crash', 'collision' and 'accident' are often used interchangeably. The adoption of Vision Zero and the Safe System approach... (More)
Accident data analysis is the common basis for any decision-making process on traffic safety strategies and management. The quality of the data, in terms of completeness (accuracy and precision of information about accidents) and coverage (severity of accidents recorded, but also the level of accident reporting or underreporting), is always a concern because it can lead to wrong decisions. An accident is defined as a set of events that result in injury or fatality due to the collision involving one motorized vehicle or a motor vehicle and another motorized vehicle, a cyclist, a pedestrian or an object. The terms 'crash', 'collision' and 'accident' are often used interchangeably. The adoption of Vision Zero and the Safe System approach in the entire EU is often leading the European countries to focus on severe accidents, admitting that accidents can happen, but severe injuries or fatalities are not an option. This concept, even if it is of immediate interpretation, requires, among other things, common definitions of accident severity and an effort of each EU Member State to reduce or eliminate underreporting for the fatal and severe accidents.
(Less)
- author
- D'Agostino, Carmelo
LU
and Olszewski, Piotr LU
- organization
- publishing date
- 2025-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Traffic Safety Data : Sources, analysis and applications - Sources, analysis and applications
- pages
- 24 pages
- publisher
- Institution of Engineering and Technology
- external identifiers
-
- scopus:105000468118
- ISBN
- 9781839530463
- 9781839530456
- DOI
- 10.1049/PBTR028E_ch2
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © The Institution of Engineering and Technology and its licensors 2025. All rights reserved.
- id
- 98495304-303c-4e84-949a-cd715208faef
- date added to LUP
- 2025-08-14 15:42:55
- date last changed
- 2025-08-16 03:20:25
@inbook{98495304-303c-4e84-949a-cd715208faef, abstract = {{<p>Accident data analysis is the common basis for any decision-making process on traffic safety strategies and management. The quality of the data, in terms of completeness (accuracy and precision of information about accidents) and coverage (severity of accidents recorded, but also the level of accident reporting or underreporting), is always a concern because it can lead to wrong decisions. An accident is defined as a set of events that result in injury or fatality due to the collision involving one motorized vehicle or a motor vehicle and another motorized vehicle, a cyclist, a pedestrian or an object. The terms 'crash', 'collision' and 'accident' are often used interchangeably. The adoption of Vision Zero and the Safe System approach in the entire EU is often leading the European countries to focus on severe accidents, admitting that accidents can happen, but severe injuries or fatalities are not an option. This concept, even if it is of immediate interpretation, requires, among other things, common definitions of accident severity and an effort of each EU Member State to reduce or eliminate underreporting for the fatal and severe accidents.</p>}}, author = {{D'Agostino, Carmelo and Olszewski, Piotr}}, booktitle = {{Traffic Safety Data : Sources, analysis and applications}}, isbn = {{9781839530463}}, language = {{eng}}, month = {{01}}, pages = {{5--28}}, publisher = {{Institution of Engineering and Technology}}, title = {{Accident data and records}}, url = {{http://dx.doi.org/10.1049/PBTR028E_ch2}}, doi = {{10.1049/PBTR028E_ch2}}, year = {{2025}}, }